A Semi-Empirical Determination of Perceived Liveability

Abstract

Ré sumé Une dé termination semi-empirique de l'habitabilité perçue. L'habitabilité est un concept étroitement lié à la notion de bien-être et se réfère à des conditions environnementales qui contribuent à la qualité de vie, aux cô tés de caractéristiques individuelles. Les mesures subjectives et objectives de qualité de vie sont à la fois d'une importance pratique et théorique considérable. Cet article s'appuis sur l'idée que les individus ont tendance à former leurs préférences en fonction de six facteurs décrivant différents aspects des conditions de vie : (1) le domicile, (2) le quartier, (3) les transports, (4) les loisirs, (5) les services et (6) le travail. Les données du sondage nous aident à travailler sur certains indicateurs représentant l'habitabilité perçue dans les zones ciblées. Un modèle linéaire mixte est utilisé pour explorer les relations possibles entre les facteurs objectifs et l'habitabilité perçue. Une estimation basée sur un modèle de l'indice de qualité de vie peut être ensuite calculé pour chaque individu non-échantillonné sur la base de ses caractéristiques socio-démographiques et sur celles de son quartier.

Simulating Transport and Land Use Interdependencies for Strategic Urban Planning—An Agent Based Modelling Approach

“…Because the number of facilities and services available in each travel zone is the same between the two scenarios, residents in travel zones with higher population will have a lower access to the facilities and services, leading to a drop of satisfaction perception in these travel zones as compared to Scenario 1. This is because the value of average facilities (number of facilities and services accessible by a person) of a travel zone is an influential attribute in the calculation of satisfaction index of a person [19,20]. This relationship between average facilities of a travel zone and the average satisfaction of the population in the travel zone is illustrated in Figures 19 and 20.…”

“…Note that as only people over 15 years old were interviewed in the liveability survey, TransMob is able to calculate liveability and satisfaction index only for individuals over 15 years of age in the simulation. As Figure 16 shows, the majority of the population in all travel zones in the study area are between 30 and 64 years old, while younger group of people (15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29) and older group of people have approximately equal proportions. People above 65 years old appear to be more satisfied with their travel zones compared to people between 30 and 64 years old, who in turn, appear to be more satisfied with the people in the youngest age group.…”

“…The semi-empirical model is a statistical weighted linear model calibrated on a CATI survey data collected in the study area. Full details of the survey and the semi-empirical model built from the model can be found in [19,20].…”

Modelling and Data Frameworks for Understanding Infrastructure Systems through a Systems-of-Systems Lens

“…Figure 1 shows the dimensions of liveability that our model considers. Our work on liveability provides details of liveability perceptions across demographic profiles 20,21 , which is used as input to the agent-based model, in conjunction with data we have on the areas in which agents can live. We have developed our model primarily to explore individual decision-making around liveability, and this depends on a good understanding of an individual's transportation options in an area.…”

Level of Satisfaction With Socio Demographic Preferences for Neighbourhood Quality

“…Other than that the subjects of socio demographic and personal characteristic will influence subjective attributes when compares their individual normative element of housing pattern with the ideal housing environment (Mohit & Nazyddah, 2011). The socio demographic information will gives reliable predictions of perceived liveability and satisfaction of their housing and neighbourhood area (Namazi-Rad, Perez, Berryman, & Wickramasuriya, 2016).…”